Artificial intelligence in the production processes
The new challenge is to have a deeper knowledge of how and why artificial intelligence generates its results, restoring the necessary centrality of decision-making processes to man. With the recent developments, in recent years, in the development of systems with artificial
Neural networks, types and applications
Deep Learning, which is based on the use of neural networks, can be applied to very different types of information, which call for the use of particular networks better suited to achieving specific objectives. What are Artificial Neural Networks (ANN)? The Artificial
Manufacturing: How are AI applications at the edge evolving
AI application at the edge is growing rapidly with 80% of enterprise IoT projects projected to incorporate AI by 2022. According to GSMA Intelligence, it’s also estimated that the AI in the Internet of Things (IoT) market will grow at
How AI Drives Sustainability In The Manufacturing Industry?
It starts to become clearer and clearer the connection between artificial intelligence and sustainability. AI is on its way to help the world become more sustainable and that is no different for the manufacturing industry. Necessarily, the road implies addressing
Data Science in Industrial Engineering
Industrial engineering (IE) is a field which has been around for a very long time and it’s a position which is exceptionally important when it comes to basically every different form of manufacturing. In its simplest terms, IE is a profession
What does Artificial Intelligence hold for the Betterment of IoT?
The Buzzword of 2021 is "AIoT", which stands for a blend of Artificial Intelligence with the Internet of Things. IoT is capable of capturing tremendous amounts of data from multiple sources. However, it is a significant yet highly complicated task
Computer Vision Platforms Mean Flexible Visual Inspection for Agile Manufacturing
Visual inspection—making sure that the parts are all present, the labels are on straight, and the packing materials are all in place—is an essential component of quality control in the manufacturing industry. By double-checking everything before products leave the factory
Top 10 AI Use Cases for Industrial Operations
Gartner believes that by 2022, 85% of AI projects will fail. One of the key reasons for this high failure rate is that often the use case being applied has not been through a rigorous selection process and the following considerations
Artificial Intelligence and Edge Computing in Manufacturing
We’ve all heard a lot about Artificial Intelligence (AI) and its crucial role in empowering key elements of the “Factory of the Future”. And Edge Computing is changing the way we think about what kind of digital performance can be